Estimation of plasma apolipoprotein B concentration using routinely measured lipid biochemical tests in apparently healthy Asian adults

Dong Sik Cho, Sookyoung Woo, Seonwoo Kim, Christopher D. Byrne, Joon Hyuk Kong, Ki Chul Sung

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Background: Increased low-density lipoprotein cholesterol (LDL) concentration is associated with increased risk of coronary heart disease (CHD) but a substantial risk of cardiovascular disease often remains after LDL concentrations have been treated to target. Apolipoprotein B (apo B) is the major apolipoprotein contained within atherogenic lipoproteins such as LDL, and apo B is a more reliable indicator of cardiovascular risk than LDL concentration.Aim and methods: Our aim was to develop a formula for calculating apo B using lipid biochemistry measurements that are commonly available in clinical practice. We examined the clinical and laboratory data from 73,047 Koreans who underwent a medical health check that included apolipoprotein B concentration. The study sample was randomly divided into a training set for prediction model building and a validation set of equal size. Multivariable linear regression analysis was used to develop a prediction model equation for estimating apo B and to validate the developed model.Results: The best results for estimating apo B were derived from an equation utilising LDL and triglyceride (TG) concentrations [ApoB = -33.12 + 0.675*LDL + 11.95*ln(tg)]. This equation predicted the apo B result with a concordance correlation coefficient (CCC and 95%CIs) = 0.936 (0.935,0.937)).Conclusion: Our equation for predicting apo B concentrations from routine analytical lipid biochemistry provides a simple method for obtaining precise information about an important cardiovascular risk marker.

Original languageEnglish
Article number55
JournalCardiovascular Diabetology
Volume11
DOIs
StatePublished - 18 May 2012
Externally publishedYes

Keywords

  • Apolipoprotein
  • Cholesterol
  • Formula
  • Hypercholesterolemia
  • Lipid

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